EFTA02511226.pdf
Extracted Text (OCR)
From:
Joichi Ito
Sent:
Thursday, February 19, 2015 2:39 AM
To:
Barnaby Marsh
Cc:
Jeffrey Epstein
Subject:
Re: "Genius" finding
Yes...
BTW, I am going to recruit, possibly, Cynthia Greenleaf, Jonathan =anton's wife, to help. Jonathan is now the president
of the American =cademy and Cynthia was Associate Provost at U of C and until recently =n executive search person in
academia. They have experience with the =acarthur Fellows and have access to all of the stuff flowing through =he
American Academy... So I am definitely tapping into that pipe.
I'm also going to FOO and Sci FOO this year and will be very =ystematic about it. I'll use some sort of algorithm on the
attendees =o figure out who to meet.
We're also doing two faculty searches and now am screening all of the =ncoming applications and nominations.
- Joi
> On Feb 18, 2015, at 9:34 PM, Barnaby Marsh ‹
> =rote:
> Yes, exactly - this is how it is at Harvard too, but very soon people
> =now who the top minds are, and which are impostors - word spreads,
> and =hose with the good minds get invited to lunches, talks, the
> american =cademy, etc. there must be some way to crack this...
> On 2/18/15, 9:27 PM, "Joichi Ito" c>wrote:
» I think the brute force way of getting the interesting
» 3attractors2=labs like George's to give us a list of the people who
» they think would =it this model.
» The problem is, and I'm working on this at MIT, most researchers =nd
» post docs are sort of 3undocumented immigrants= that we don't
» =ormally track
»
Joi
>» On Feb 18, 2015, at 9:23 PM, Barnaby Marsh •t
> =rote:
>» On the right track- like the bayesian method. I think that the
>» environment matters a lot too- the people that we look for aggregate
>» =n places like Cambridge, where they can be with others who they can
>» resonate with. My guess is that many times they might not have
>» =ormal positions, but are visitors to labs, research groups, etc. Is
>» there =ny way to get lists of such people???
>>>
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>» From: Joichi Ito <
>» Date: Saturday, February 14, 2015 at 8:10 AM
>» To: B Marsh <
1=a>,
Jeffrey Epstein
>» <jeevacation@gmail.com>
>» Subject: Fwd: "Genius" finding
>»
>» Sent from my iPhone
>»
>» Begin forwarded message:
>»
»» From: Scott Page <-
»» Date: February 14, 2015 at 07:16:47 EST
»» To: Joichi Ito ca
»» Subject: "Genius" finding
>>»
»»
>>»
»» I've been thinking about your question of how to identify amazing
»» people.
»» Here are several thoughts that don't necessarily cohere.
>>»
»» I think your approach has to depend partly on the goal. The
»» =lgorithm I would construct to find the next great artist would
»» differ from =ne to find a teacher, mathematician, cancer
»» researcher, brain =cientist, etc... If you're totally wide open as
»» to subject area, then it seems to me you want to cast a wide net.
>>»
»» I would be tempted to try the Bayesian Truth Serum and ask
»» =omething like Pick a really smart friend, who would that person
»» say should win a genius award.
>>»
»» Rather than try to identify people, you might instead seek out
»» papers/projects/programs/ideas and then identify the person after
»» =he fact.
>>»
»» You might want to consider asking people for the "coolest thing
»» =hey know that's NOT on the web (yet)
>>»
»» So much filtering and assessment already goes on that most programs
»» free ride on that -- giving award to people who have already won
»» awards. This suggests that one place to look is at the "losers" -
»» contact MacArthur, NIH, NSF, DARPA, GOOGLE, and ask who do you
»» =egret not funding?
>>»
»» Once you've got a long list of possibilities you have many options.
»» Here are some you may not have considered
>>»
»»
You could also pay people on mechanical turk to write up little
»» blurbs on each one and then seed them on Facebook, Twitter, etc..
»» =nd then only look at the ones that get retweeted.
2
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>>»
>>»
You could use Matt Salganik's pairwise comparison website.
>>»
»» hope this helps. Happy to think more.
>>»
»» scotte
>>»
>>» --
»» Scott E Page
»» University of Michigan-Ann Arbor
»» Santa Fe Institute
>>
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| Filename | EFTA02511226.pdf |
| File Size | 229.3 KB |
| OCR Confidence | 85.0% |
| Has Readable Text | Yes |
| Text Length | 4,806 characters |
| Indexed | 2026-02-12T18:37:48.234164 |
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